Examining the Psychometric Equivalency of MMPI-3 Scale Scores Derived From the MMPI-3 and the MMPI-2-RF-EX

The current study evaluated the comparability of Minnesota Multiphasic Personality Inventory–3 (MMPI-3) scale scores derived from the 335-item MMPI-3 to MMPI-3 scale scores derived from the 433-item MMPI-2 restructured form–expanded version (MMPI-2-RF-EX), an enhanced version of the MMPI-2-RF that was used to develop and validate the MMPI-3. To that end, we examined data from 192 college undergraduates who completed both the MMPI-3 and MMPI-2-RF-EX 1 week apart using a counterbalanced design. Across versions, mean T-scores and standard deviations, estimates of internal consistency, and standard error of measurement values, were highly similar, indicating no clinically meaningful differences across versions. We also compared between-version test–retest comparability values with within-version values calculated using a sample of undergraduates ( N = 318) who completed the MMPI-2-RF-EX twice over the same time interval, finding only marginal differences across the two samples. Finally, we computed column-vector correlations between MMPI-3 scores from both versions and several criterion measures, where results reflected no effect of test version on external validity. Overall, we determined that scale scores derived from either booklet are psychometrically interchangeable, indicating that MMPI-3 scale scores obtained from an administration of the MMPI-2-RF-EX can be applied when using the 335-item MMPI-3.

Dynamics and Vector Correlations of Vacuum Ultraviolet (VUV) Photodissociation of CO2 at 155 nm

In this work, the CO2 Vacuum Ultraviolet (VUV) photodissociation dynamics of the dominant O(1D) channel near 155 nm have been studied using Velocity Map Imaging (VMI) technique. Correlations among the...

H(D)+LiH+→H2(HD)+Li+ reaction dynamics on its ground electronic state X1A1 and vector correlations

Dynamics of the [Formula: see text] reaction has been investigated by means of quasi-classical trajectory (QCT) calculations on the ground state X1A1 potential energy surface. The H2 (HD) product rotational alignment parameters as well as the angular distributions show that the reaction is dominated by fast abstraction reaction mechanism. The reaction evolving scenario is proposed so that the product rotational angular moment tends to be perpendicular to the reactant velocity vector. The rupture time is inferred near to or less than within one rotational period. We predicted that the increasing collision energy cannot be channeled into the product vibrational excitation effectively. This can help for further experimental tests.

Interoperability of Direction-Finding and Beam-Forming High-Frequency Radar Systems: An Example from the Australian High-Frequency Ocean Radar Network

Direction-finding SeaSonde (4.463 MHz; 5.2625 MHz) and phased-array WEllen RAdar WERA (9.33 MHz; 13.5 MHz) High-frequency radar (HFR) systems are routinely operated in Australia for scientific research, operational modeling, coastal monitoring, fisheries, and other applications. Coverage of WERA and SeaSonde HFRs in Western Australia overlap. Comparisons with subsurface currents show that both HFR types agree well with current meter records. Correlation (R), root-mean-squares differences (RMSDs), and mean bias (bias) for hourly-averaged radial currents range between R = (−0.03, 0.78), RMSD = (9.2, 30.3) cm/s, and bias = (−5.2, 5.2) cm/s for WERAs; and R = (0.1, 0.76), RMSD = (17.4, 33.6) cm/s, bias = (0.03, 0.36) cm/s for SeaSonde HFRs. Pointing errors (θ) are in the range θ = (1°, 21°) for SeaSonde HFRs, and θ = (3°, 8°) for WERA HFRs. For WERA HFR current components, comparison metrics are RU = (−0.12, 0.86), RMSDU = (12.3, 15.7) cm/s, biasU = (−5.1, −0.5) cm/s; and, RV = (0.61, 0.86), RMSDV = (15.4, 21.1) cm/s, and biasV = (−0.5, 9.6) cm/s for the zonal (u) and the meridional (v) components. Magnitude and phase angle for the vector correlation are ρ = (0.58, 0.86), φ = (−10°, 28°). Good match was found in a direct comparison of SeaSonde and WERA HFR currents in their overlap (ρ = (0.19, 0.59), φ = (−4°, +54°)). Comparison metrics at the mooring slightly decrease when SeaSonde HFR radials are combined with WERA HFR: scalar (vector) correlations for RU, V, (ρ) are in the range RU = (−0.20, 0.83), RV = (0.39, 0.79), ρ = (0.47, 0.72). When directly compared over the same grid, however, vectors from WERA HFR radials and vectors from merged SeaSonde–WERA show RU (RV) exceeding 0.9 (0.7) within the HFR grid. Despite the intrinsic differences between the two types of radars used here, findings show that different HFR genres can be successfully merged, thus increasing current mapping capability of the existing HFR networks, and minimising operational downtime, however at a likely cost of slightly decreased data quality.